code: def eval(self, input_filepath, args):
      if type(args) == dict:
          raise ValueError(
              "Dictionary evaluating arguments are no longer supported as of Happy Transformer version 3.0.0."
          )
  
      tokenized_dataset = self._preprocess_data_eval(
          input_filepath, args
      )
  
      result = self._run_eval(
          tokenized_dataset, self._data_collator, args
      )
  
      return EvalResult(loss=result["eval_loss"])
  
imports: import logging
  import os
  import tempfile
  from typing import Union
  from datasets import Dataset, DatasetDict, load_dataset, load_from_disk
  import torch
  from transformers import AutoConfig, AutoModel, AutoTokenizer, Seq2SeqTrainer, Seq2SeqTrainingArguments, Trainer, TrainingArguments
  from happytransformer.args import EvalArgs, TrainArgs
  from happytransformer.fine_tuning_util import EvalResult, FistStep, ZERO_2_SETTINGS, ZERO_3_SETTINGS
label_desc: Use image node_id 7 for calling the HappyTransformer obj's underlying member method code with example usage: obj.eval(input_filepath, args) and returns: EvalResult